Azure storage, streaming, and batch analytic : a guide for data engineers / Richard Nuckolls
Material type:
- 9781617296307
- TK 5105.88813 .N83 2020
Item type | Current library | Collection | Call number | Materials specified | Status | Date due | Barcode |
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NU Clark Circulation | Non-fiction | GC TK 5105.88813 .N83 2020 (Browse shelf(Opens below)) | Available | NUCLA000005376 |
Includes index.
1. What is data engineering? -- 2. Building an analytics system in Azure -- 3. General storage with Azure Storage accounts -- 4. Azure Data Lake Storage -- 5. Message handling with Event Hubs -- 6. Real-time queries with Azure Stream Analytics -- 7. Batch queries with Azure Data Lake Analytics -- 8. U-SQL for complex analytics -- 9. Integrating with Azure Data Lake Analytics -- 10. Service integration with Azure Data Factory -- 11. Managed SQL with Azure SQL Database -- 12. Integrating Data Factory with SQL Database -- 13. Where to go next.
"Azure Storage, Streaming, and Batch Analytics shows you how to build state-of-the-art data solutions with tools from the Microsoft Azure platform. Read along to construct a cloud-native data warehouse, adding features like real-time data processing. Based on the Lambda architecture for big data, the design uses scalable services such as Event Hubs, Stream Analytics, and SQL databases. Along the way, you’ll cover most of the topics needed to earn an Azure data engineering certification."
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